Publications by authors named "Ammar Jagirdar"
Background: There is an inequitable distribution of radiology facilities in India. This scoping review aimed at mapping the available technology instruments to improve access to imaging at primary health care; to identify the facilitators and barriers, and the knowledge gaps for widespread adaptation of technology solutions.
Methods: A search was conducted using broad inclusive terms non-specific to subtypes of medical imaging devices or informatics.
Article Synopsis
- Many chest X-ray interpretations lead to missed findings, which can have serious implications for patient health.
- A study involving 2407 chest radiographs across multiple sites found that 18.9% had unreported findings, with over 76% of these being clinically significant.
- The AI model tested was able to detect over half of these missed findings effectively and demonstrated reliable performance across various demographics and settings.
: We assessed whether a CXR AI algorithm was able to detect missed or mislabeled chest radiograph (CXR) findings in radiology reports. : We queried a multi-institutional radiology reports search database of 13 million reports to identify all CXR reports with addendums from 1999-2021. Of the 3469 CXR reports with an addendum, a thoracic radiologist excluded reports where addenda were created for typographic errors, wrong report template, missing sections, or uninterpreted signoffs.
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